From 7511619e90c4f42c701a4b53e486ef3232bb71a7 Mon Sep 17 00:00:00 2001
From: David Rotermund <54365609+davrot@users.noreply.github.com>
Date: Thu, 28 Dec 2023 15:37:22 +0100
Subject: [PATCH] Update README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
---
 numpy/extending/README.md | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/numpy/extending/README.md b/numpy/extending/README.md
index ce61f11..c88a143 100644
--- a/numpy/extending/README.md
+++ b/numpy/extending/README.md
@@ -11,3 +11,20 @@
 
 
 Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
+
+## [numpy.tile](https://numpy.org/doc/stable/reference/generated/numpy.tile.html)
+
+```python
+numpy.tile(A, reps)
+```
+
+> Construct an array by repeating A the number of times given by reps.
+> 
+> If reps has length d, the result will have dimension of max(d, A.ndim).
+> 
+> If A.ndim < d, A is promoted to be d-dimensional by prepending new axes. So a shape (3,) array is promoted to (1, 3) for 2-D replication, or shape (1, 1, 3) for 3-D replication. If this is not the desired behavior, promote A to d-dimensions manually before calling this function.
+> 
+> If A.ndim > d, reps is promoted to A.ndim by pre-pending 1’s to it. Thus for an A of shape (2, 3, 4, 5), a reps of (2, 2) is treated as (1, 1, 2, 2).
+> 
+> Note : Although tile may be used for broadcasting, it is strongly recommended to use numpy’s broadcasting operations and functions.
+